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Understanding Forecastability - Not All Items Are Created Equal
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- čas přidán 14. 08. 2024
- IBF On Demand sponsored by Arkieva, your one-plan S&OP software. Learn more about Arkieva's innovative approach to forecasting here: bit.ly/business...
Learn more about forecastability here: bit.ly/2YNAfvn
01:15 Why do we assume forecast accuracy should be the same for all items?
05:05 What is forecastability?
06:55 Are all items forecastable?
08:20 Items are becoming increasingly unforecastable
09:35 What kind of forecast error should we accept today?
12:49 How to know if our items are forecastable or not
18:05 Coefficient of variation and seasonality
19:45 Should we expect more error now following Covid?
22:25 What to do with long tail, unforecastable SKUs
27:10 Identifying causal factors in the noise
29:54 How good are you at forecasting? Using Forecast Value Add
Hi! Eric, congrats for the YT channel, i really like it, because for my professional experience in Mexico as demand planner for already 4 years, forecasting is like a unknown world for the majority of the companies and use more empiric knowleadge than stadistic methods and only Excel, and that's ok in some measure and for me has worked, but now i want learn more about "forecastability", i'm hungry for search more methods and add value to my forecast; actually i'm working for a Direct Sales i have a lot of variables to forecast and it's complicated, but your videos and articles help me a lot, Thanks in advance and a lot of success!
Another awesome program with real and ugly facts about Forecastability, but don´t deny that its better to have the information in order to take accurate decisions. thanks once again for the program.
Hi Eric , thanks for the podcast. Great points there. Most of these techniques I feel are good for businesses that deal with very limited references as that would give time to go deep into few references. We deal with 1000’s of references. What are some of the scalable solutions that can be applied en made?
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